Practice Hidden Layer(s) (8.2.2) - Neural Network - CBSE 11 AI (Artificial Intelligence)

Practice: Hidden Layer(s)

Lesson 8.2.2Neural Network

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9 questions

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6 sample questions

Question 1.
What is a hidden layer in an artificial neural network?
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Think about what happens between receiving input and creating an output.
Question 2.
How does increasing the number of hidden layers affect a neural network?
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More layers mean more detailed understanding.
3Question 3.
What is the primary function of hidden layers in a neural network?
- To store input data
- To extract patterns from data
- To produce output
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Think about the purpose of intermediate layers.
4Question 4.
True or False: Increasing the number of hidden layers always improves model performance.
- True
- False
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Consider the concept of overfitting.
Question 5.
Construct a neural network for a task where data complexity is high. How many hidden layers would you use and why?
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Consider the trade-off between learning ability and complexity.
Question 6.
Evaluate a hypothetical scenario where a model with excessive hidden layers underperforms on validation data despite high accuracy on training data. What might be the cause?
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Reflect on the balance of fitting and generalizing.

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